COLLEGA middleware for the management of participatory Mobile Health Communities

Bibliographic Details
Main Author: De Rolt C.R.*
Publication Date: 2016
Other Authors: Montanari R., Foschini L., Brocardo, Marcelo Luiz, Dias, Julio Da Silva
Format: Conference object
Language: eng
Source: Repositório Institucional da Udesc
dARK ID: ark:/33523/001300000sk96
Download full: https://repositorio.udesc.br/handle/UDESC/7469
Summary: © 2016 IEEE.Recent advancements in wireless technologies and the widespread availability of smartphones equipped with several physical and virtual sensors are leading to the emergence of novel mobile healthcare scenarios where patients with critical physical/behavioral conditions can be provided with anywhere and anytime care assistance even while on the move. Crowdsensing, through the massive use of smartphone sensors further enhances the potential of supporting participatory management of emergency scenarios. This paper presents a macro process modelling of crowdsourced-based participatory emergency scenarios and, accordingly, proposes a crowdsensing-based middleware called COLLEGA that provides comprehensive management functionalities for supporting prompt assistance in case of a medical emergency. In particular, through participatory and opportunistic sensing, the COLLEGA framework allows dynamic formation of ad-hoc assistance groups formed by passing-by users capable of assisting mobile patients in need of help while waiting for professional caregivers and provides support for understanding the emergency situation and effectively planning and executing assistance actions.
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spelling COLLEGA middleware for the management of participatory Mobile Health Communities© 2016 IEEE.Recent advancements in wireless technologies and the widespread availability of smartphones equipped with several physical and virtual sensors are leading to the emergence of novel mobile healthcare scenarios where patients with critical physical/behavioral conditions can be provided with anywhere and anytime care assistance even while on the move. Crowdsensing, through the massive use of smartphone sensors further enhances the potential of supporting participatory management of emergency scenarios. This paper presents a macro process modelling of crowdsourced-based participatory emergency scenarios and, accordingly, proposes a crowdsensing-based middleware called COLLEGA that provides comprehensive management functionalities for supporting prompt assistance in case of a medical emergency. In particular, through participatory and opportunistic sensing, the COLLEGA framework allows dynamic formation of ad-hoc assistance groups formed by passing-by users capable of assisting mobile patients in need of help while waiting for professional caregivers and provides support for understanding the emergency situation and effectively planning and executing assistance actions.2024-12-06T13:43:11Z2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectp. 999 - 10051530-134610.1109/ISCC.2016.7543867https://repositorio.udesc.br/handle/UDESC/7469ark:/33523/001300000sk96Proceedings - IEEE Symposium on Computers and Communications2016-AugustDe Rolt C.R.*Montanari R.Foschini L.Brocardo, Marcelo LuizDias, Julio Da Silvaengreponame:Repositório Institucional da Udescinstname:Universidade do Estado de Santa Catarina (UDESC)instacron:UDESCinfo:eu-repo/semantics/openAccess2024-12-07T20:54:19Zoai:repositorio.udesc.br:UDESC/7469Biblioteca Digital de Teses e Dissertaçõeshttps://pergamumweb.udesc.br/biblioteca/index.phpPRIhttps://repositorio-api.udesc.br/server/oai/requestri@udesc.bropendoar:63912024-12-07T20:54:19Repositório Institucional da Udesc - Universidade do Estado de Santa Catarina (UDESC)false
dc.title.none.fl_str_mv COLLEGA middleware for the management of participatory Mobile Health Communities
title COLLEGA middleware for the management of participatory Mobile Health Communities
spellingShingle COLLEGA middleware for the management of participatory Mobile Health Communities
De Rolt C.R.*
title_short COLLEGA middleware for the management of participatory Mobile Health Communities
title_full COLLEGA middleware for the management of participatory Mobile Health Communities
title_fullStr COLLEGA middleware for the management of participatory Mobile Health Communities
title_full_unstemmed COLLEGA middleware for the management of participatory Mobile Health Communities
title_sort COLLEGA middleware for the management of participatory Mobile Health Communities
author De Rolt C.R.*
author_facet De Rolt C.R.*
Montanari R.
Foschini L.
Brocardo, Marcelo Luiz
Dias, Julio Da Silva
author_role author
author2 Montanari R.
Foschini L.
Brocardo, Marcelo Luiz
Dias, Julio Da Silva
author2_role author
author
author
author
dc.contributor.author.fl_str_mv De Rolt C.R.*
Montanari R.
Foschini L.
Brocardo, Marcelo Luiz
Dias, Julio Da Silva
description © 2016 IEEE.Recent advancements in wireless technologies and the widespread availability of smartphones equipped with several physical and virtual sensors are leading to the emergence of novel mobile healthcare scenarios where patients with critical physical/behavioral conditions can be provided with anywhere and anytime care assistance even while on the move. Crowdsensing, through the massive use of smartphone sensors further enhances the potential of supporting participatory management of emergency scenarios. This paper presents a macro process modelling of crowdsourced-based participatory emergency scenarios and, accordingly, proposes a crowdsensing-based middleware called COLLEGA that provides comprehensive management functionalities for supporting prompt assistance in case of a medical emergency. In particular, through participatory and opportunistic sensing, the COLLEGA framework allows dynamic formation of ad-hoc assistance groups formed by passing-by users capable of assisting mobile patients in need of help while waiting for professional caregivers and provides support for understanding the emergency situation and effectively planning and executing assistance actions.
publishDate 2016
dc.date.none.fl_str_mv 2016
2024-12-06T13:43:11Z
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dc.identifier.uri.fl_str_mv 1530-1346
10.1109/ISCC.2016.7543867
https://repositorio.udesc.br/handle/UDESC/7469
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dc.relation.none.fl_str_mv Proceedings - IEEE Symposium on Computers and Communications
2016-August
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dc.format.none.fl_str_mv p. 999 - 1005
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